研究目的
To construct an efficient privacy-preserving protocol for smart metering systems (EPPP4SMS) that enhances privacy and security in smart grid communications, enabling verification of billing information and measurements without leaking private information.
研究成果
EPPP4SMS successfully integrates the best features of existing privacy-preserving protocols, offering faster encryption, scalability, and the ability to verify measurements and billing information without compromising privacy. Its application extends beyond smart grids to other areas requiring secure aggregation of time-series data.
研究不足
The decryption process in EPPP4SMS is slightly slower than in Paillier’s scheme, especially for a large number of meters. The protocol's performance and security depend on the selection of parameters like the size of exponents and primes.
1：Experimental Design and Method Selection:
The protocol EPPP4SMS is designed based on additive homomorphic encryption, incorporating features from existing privacy-preserving protocols for smart grids. It includes encryption, aggregation, and decryption processes optimized for speed and scalability.
2：Sample Selection and Data Sources:
Real-world measurement data from 6435 meters, totaling 157,992,996 measurements, were used for simulation. Data were sanitized to remove errors and ensure privacy.
3：List of Experimental Equipment and Materials:
Implementations were written in C, compiled with GCC version 4.4.6, using GNU multiple precision arithmetic library (GMP) for big number manipulation and OpenMP for parallelization. The simulation ran on an Intel Xeon CPU E5-2620 with 12 cores and 70 GB RAM.
4：6, using GNU multiple precision arithmetic library (GMP) for big number manipulation and OpenMP for parallelization. The simulation ran on an Intel Xeon CPU E5-2620 with 12 cores and 70 GB RAM.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The simulation involved parallelized encryption in 11 threads, with aggregation and decryption in a single thread, using real-world data to validate the protocol's efficiency and scalability.
5：Data Analysis Methods:
Processing times for encryption, aggregation, and decryption were collected and analyzed using box plots to compare EPPP4SMS with Paillier’s scheme.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
